دورية أكاديمية
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Network-based approach to identify molecular signatures and therapeutic agents in Alzheimer's disease.

التفاصيل البيبلوغرافية
العنوان: Network-based approach to identify molecular signatures and therapeutic agents in Alzheimer's disease.
المؤلفون: Rahman MR; Department of Biotechnology and Genetic Engineering, Islamic University, Kushtia, Bangladesh; Department of Biochemistry and Biotechnology, School of Biomedical Science, Khwaja Yunus Ali University, Sirajgonj, Bangladesh., Islam T; Department of Biotechnology and Genetic Engineering, Islamic University, Kushtia, Bangladesh., Turanli B; Department of Bioengineering, Istanbul Medeniyet University, Istanbul, Turkey; Department of Bioengineering, Marmara University, Istanbul, Turkey., Zaman T; Department of Biochemistry and Biotechnology, School of Biomedical Science, Khwaja Yunus Ali University, Sirajgonj, Bangladesh., Faruquee HM; Department of Biotechnology and Genetic Engineering, Islamic University, Kushtia, Bangladesh; Translational Health, International Centre for Genetic Engineering and Biotechnology, New Delhi, India., Rahman MM; Department of Biotechnology and Genetic Engineering, Islamic University, Kushtia, Bangladesh., Mollah MNH; Laboratory of Bioinformatics, Department of Statistics, University of Rajshahi, Rajshahi, Bangladesh., Nanda RK; Translational Health, International Centre for Genetic Engineering and Biotechnology, New Delhi, India., Arga KY; Department of Bioengineering, Marmara University, Istanbul, Turkey., Gov E; Department of Bioengineering, Adana Science and Technology University, Adana, Turkey. Electronic address: egov@adanabtu.edu.tr., Moni MA; The University of Sydney, Sydney Medical School, School of Medical Sciences, Discipline of Biomedical Science, Sydney, New South Wales, Australia. Electronic address: mohammad.moni@sydney.edu.au.
المصدر: Computational biology and chemistry [Comput Biol Chem] 2019 Feb; Vol. 78, pp. 431-439. Date of Electronic Publication: 2018 Dec 26.
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: Elsevier Country of Publication: England NLM ID: 101157394 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1476-928X (Electronic) Linking ISSN: 14769271 NLM ISO Abbreviation: Comput Biol Chem Subsets: MEDLINE
أسماء مطبوعة: Publication: Oxford : Elsevier
Original Publication: Oxford : Pergamon, c2003-
مواضيع طبية MeSH: Alzheimer Disease/*drug therapy , Alzheimer Disease/*genetics , Gene Regulatory Networks/*drug effects , Small Molecule Libraries/*pharmacology, Gene Regulatory Networks/genetics ; Humans ; Small Molecule Libraries/chemical synthesis ; Small Molecule Libraries/chemistry ; Transcription Factors/genetics ; Transcriptome/drug effects ; Transcriptome/genetics
مستخلص: Alzheimer's disease (AD) is a dynamic degeneration of the brain with progressive dementia. Considering the uncertainties in its molecular mechanism, in the present study, we employed network-based integrative analyses, and aimed to explore the key molecules and their associations with small drugs to identify potential biomarkers and therapeutic agents for the AD. First of all, we studied a transcriptome dataset and identified 1521 differentially expressed genes (DEGs). Integration of transcriptome data with protein-protein and transcriptional regulatory interactions resulted with central (hub) proteins (UBA52, RAC1, CREBBP, AR, RPS11, SMAD3, RPS6, RPL12, RPL15, and UBC), regulatory transcription factors (FOXC1, GATA2, YY1, FOXL1, NFIC, E2F1, USF2, SRF, PPARG, and JUN) and microRNAs (mir-335-5p, mir-26b-5p, mir-93-5p, mir-124-3p, mir-17-5p, mir-16-5p, mir-20a-5p, mir-92a-3p, mir-106b-5p, and mir-192-5p) as key signaling and regulatory molecules associated with transcriptional changes for the AD. Considering these key molecules as potential therapeutic targets and Connectivity Map (CMap) architecture, candidate small molecular agents (such as STOCK1N-35696) were identified as novel potential therapeutics for the AD. This study presents molecular signatures at RNA and protein levels which might be useful in increasing discernment of the molecular mechanisms, and potential drug targets and therapeutics to design effective treatment strategies for the AD.
(Copyright © 2018 Elsevier Ltd. All rights reserved.)
فهرسة مساهمة: Keywords: Alzheimer’s disease; Candidate drugs; Differentially expressed genes; Network biology; Transcription factors; microRNAs
المشرفين على المادة: 0 (Small Molecule Libraries)
0 (Transcription Factors)
تواريخ الأحداث: Date Created: 20190105 Date Completed: 20190403 Latest Revision: 20220409
رمز التحديث: 20240628
DOI: 10.1016/j.compbiolchem.2018.12.011
PMID: 30606694
قاعدة البيانات: MEDLINE
الوصف
تدمد:1476-928X
DOI:10.1016/j.compbiolchem.2018.12.011